Let’s complicate the idea of infrastructure in conversations about GenAI

First, a blog post Rethinking AI Infrastructure: Beyond the Surface-Level Conversations The current excitement around generative AI has sparked a wave of discussions about its potential to transform various aspects of our lives. Amidst the hype, there’s a growing tendency to refer to AI as “infrastructure.” While this comparison might seem fitting, it oversimplifies the complexity of AI systems and, more importantly, obscures the critical questions surrounding control, benefit, and impact.

By Bodong Chen in musing

May 15, 2024

Putting Generative AI in Classrooms

It was more than one year ago when I mused on the topic of integrating AI in education. Now, it feels like that post was made a decade ago! Yesterday, I got a chance to be on a panel on this topic, moderated by my great colleague Dr Susan Yoon and participated by Drs. James Lester and Ryan Baker, two known experts in the area of AI in Education. The panel was part of the launch event for the new McGraw Center for Educational Leadership at Penn GSE.

By Bodong Chen in blog

June 9, 2023

Integrating AI in Knowledge Building

Earlier this week, I had the good fortune of joining a panel organized by my colleageus Seng Chee Tan and⁩ Alwyn Lee at the 2022 Empowering Learners in AI conference. Several colleagues including Leanne Ma (University of Tornoto), Chew Lee Teo (National Institute of Education in Singapore), and Mutlu Cukurova (University College London) were also on the panel. While my colleagues on the panel presented some really exciting new research, I used my time to ask a series of questions.

By Bodong Chen in blog

December 9, 2022

Network Motifs as Codes

I’ve been working on a framework of applying socio-semantic network analysis to discourse data. Socio-semantic networks are two-mode, dual-layer networks that are made of actors (e.g., learners), semantic entities (e.g., words), and their relations. Socio-semantic network analysis brings together the study of relations among actors (human networks), relations among semantic elements (semantic networks), and relations among these two orders of networks (Basov et al., 2020). Such a dual-layer network analysis approach is not only useful for examining the duality of socio-semantic relations, it also applies to other settings such as socio-ecological analysis that’s interested in the interactions between social structures and ecological resources (Bodin & Tengö, 2012).

By Bodong Chen in blog

June 7, 2022